Framework for approaching the minimum CV(RMSE) using energy simulation and optimization tool

Taehoon Hong, Chan Joong Kim, Jaemin Jeong, Jimin Kim, Choongwan Koo, Kwangbok Jeong, Minhyun Lee

Research output: Journal article publicationConference articleAcademic researchpeer-review

16 Citations (Scopus)


Global warming has become one of the most significant environmental issues. To solve this problem, baseline model has been created by energy simulation to determine the future energy consumption. Meanwhile, reliability analysis needs to conduct between baseline model and existing building. This study aims to develop the minimum coefficient of variance of the root mean square error (CV(RMSE)) framework to improve the reliability of baseline model. The baseline model is considered to be accurate as the CV(RMSE) gets closer to 0%. As a follow-up research, the minimum CV(RMSE) will be used to develop the baseline model by conducting multi-objective optimization.

Original languageEnglish
Pages (from-to)265-270
Number of pages6
JournalEnergy Procedia
Publication statusPublished - 1 Jun 2016
EventApplied Energy Symposium and Summit on Low-Carbon Cities and Urban Energy Systems, CUE 2015 - Fuzhou, China
Duration: 15 Nov 201517 Nov 2015


  • Baseline model
  • CV(RMSE)
  • Energy simulation
  • Optimization tool

ASJC Scopus subject areas

  • Energy(all)

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